Stephen F. Lunn

430 total citations
7 papers, 370 citations indexed

About

Stephen F. Lunn is a scholar working on Molecular Biology, Agronomy and Crop Science and Immunology. According to data from OpenAlex, Stephen F. Lunn has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Agronomy and Crop Science and 3 papers in Immunology. Recurrent topics in Stephen F. Lunn's work include Reproductive Physiology in Livestock (3 papers), Reproductive Biology and Fertility (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Stephen F. Lunn is often cited by papers focused on Reproductive Physiology in Livestock (3 papers), Reproductive Biology and Fertility (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Stephen F. Lunn collaborates with scholars based in United Kingdom and United States. Stephen F. Lunn's co-authors include Hamish M. Fraser, Christine Wulff, Sarah Dickson, Veronica A. Carroll, Roy Bicknell, Keith Morris, John S. Rudge, Helen Wilson, Stanley J. Wiegand and David R. Mann and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Trends in Endocrinology and Metabolism.

In The Last Decade

Stephen F. Lunn

7 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen F. Lunn United Kingdom 7 187 123 111 108 75 7 370
Theodore A. Molskness United States 11 163 0.9× 252 2.0× 136 1.2× 216 2.0× 72 1.0× 17 478
Helen F. Rodgers Australia 13 190 1.0× 103 0.8× 120 1.1× 231 2.1× 46 0.6× 17 508
James W. Akin United States 12 110 0.6× 183 1.5× 46 0.4× 158 1.5× 115 1.5× 24 401
Carolyn J. Kubik United States 11 91 0.5× 186 1.5× 38 0.3× 149 1.4× 95 1.3× 17 449
Nathalie Baran France 7 239 1.3× 77 0.6× 49 0.4× 67 0.6× 109 1.5× 7 513
Fiona H. Thomas United Kingdom 9 311 1.7× 313 2.5× 105 0.9× 484 4.5× 73 1.0× 10 646
Takeshi Ujioka Japan 11 103 0.6× 173 1.4× 81 0.7× 201 1.9× 137 1.8× 12 412
Melinda J. Murphy United States 11 73 0.4× 119 1.0× 75 0.7× 133 1.2× 93 1.2× 13 331
Fuhua Xu United States 15 251 1.3× 414 3.4× 144 1.3× 448 4.1× 135 1.8× 32 787
Cristiana Laura Andreani Italy 11 52 0.3× 227 1.8× 73 0.7× 196 1.8× 107 1.4× 16 404

Countries citing papers authored by Stephen F. Lunn

Since Specialization
Citations

This map shows the geographic impact of Stephen F. Lunn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen F. Lunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen F. Lunn more than expected).

Fields of papers citing papers by Stephen F. Lunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen F. Lunn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen F. Lunn. The network helps show where Stephen F. Lunn may publish in the future.

Co-authorship network of co-authors of Stephen F. Lunn

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen F. Lunn. A scholar is included among the top collaborators of Stephen F. Lunn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen F. Lunn. Stephen F. Lunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Wulff, Christine, Helen Wilson, John S. Rudge, et al.. (2001). Luteal Angiogenesis: Prevention and Intervention by Treatment with Vascular Endothelial Growth Factor TrapA401. The Journal of Clinical Endocrinology & Metabolism. 86(7). 3377–3386. 118 indexed citations
2.
Mann, David R., et al.. (2000). Endocrine–Immune Interaction: Alterations in Immune Function Resulting From Neonatal Treatment with a GnRH Antagonist and Seasonality in Male Primates. American Journal of Reproductive Immunology. 44(1). 30–40. 18 indexed citations
3.
Fraser, Hamish M., Stephen F. Lunn, W. Colin Duncan, et al.. (2000). Changes in Insulin-like Growth Factor-Binding Protein-3 Messenger Ribonucleic Acid in Endothelial Cells of the Human Corpus Luteum: A Possible Role in Luteal Development and Rescue. The Journal of Clinical Endocrinology & Metabolism. 85(4). 1672–1677. 23 indexed citations
4.
Fraser, Hamish M., Sarah Dickson, Stephen F. Lunn, et al.. (2000). Suppression of Luteal Angiogenesis in the Primate after Neutralization of Vascular Endothelial Growth Factor1. Endocrinology. 141(3). 995–1000. 176 indexed citations
5.
Mann, David R., Stephen F. Lunn, Mukaila A. Akinbami, et al.. (1999). Effect of Neonatal Treatment with a GnRH Antagonist on Development of the Cell‐Mediated Immune Response in Marmosets. American Journal of Reproductive Immunology. 42(3). 175–186. 8 indexed citations
6.
Mann, David R., Sarah Howie, Douglas F. Paulsen, et al.. (1998). Changes in Lymphoid Tissue After Treatment with a Gonadotropin Releasing Hormone Antagonist in the Neonatal Marmoset (Callithrix jacchus). American Journal of Reproductive Immunology. 39(4). 256–265. 11 indexed citations
7.
Fraser, Hamish M. & Stephen F. Lunn. (1993). Does inhibin have an endocrine function during the menstrual cycle?. Trends in Endocrinology and Metabolism. 4(6). 187–194. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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